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Unofficial implementation of Renewables Scenario Generation GAN (Chen et al., IEEE 2018) in PyTorch.

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Renewables_Scenario_Gen_GAN-PyTorch

Unofficial implementation of Renewables Scenario Generation GAN (Chen et al., IEEE 2018) in PyTorch.

Full reference of the authors' work:

Y. Chen, Y. Wang, D. Kirschen and B. Zhang, "Model-Free Renewable Scenario Generation Using Generative Adversarial Networks," in IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 3265-3275, May 2018, doi: 10.1109/TPWRS.2018.2794541.

https://ieeexplore.ieee.org/abstract/document/8260947

Motivation

The initial Renewables Scenario Generation GAN code is based on Tensorflow 1, now being deprecated.

Original codebase: https://github.com/chennnnnyize-zz/Renewables_Scenario_Gen_GAN.git

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Unofficial implementation of Renewables Scenario Generation GAN (Chen et al., IEEE 2018) in PyTorch.

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